Difference between revisions of "World Models"
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[http://www.google.com/search?q=World+Models+machine+learning ...Google search] | [http://www.google.com/search?q=World+Models+machine+learning ...Google search] | ||
+ | * [[Simulation]] ... [[Simulated Environment Learning]] ... [[World Models]] ... [[Minecraft]]: [[Minecraft#Voyager|Voyager]] | ||
* [http://worldmodels.github.io/ World Models | NIPS 2018 - GitHub] | * [http://worldmodels.github.io/ World Models | NIPS 2018 - GitHub] | ||
* [http://arxiv.org/pdf/1803.10122.pdf World Models | David Ha, Jürgen Schmidhuber] | * [http://arxiv.org/pdf/1803.10122.pdf World Models | David Ha, Jürgen Schmidhuber] | ||
* [http://towardsdatascience.com/world-models-in-tensorflow-episode-1-2b3c217ebc8f World Models in TensorFlow — Episode 1.0 — OpenAi Gym Race Car | Dario Cazzani] | * [http://towardsdatascience.com/world-models-in-tensorflow-episode-1-2b3c217ebc8f World Models in TensorFlow — Episode 1.0 — OpenAi Gym Race Car | Dario Cazzani] | ||
− | * [[Automated | + | * [[Algorithm Administration#Automated Learning|Automated Learning]] |
* [[Building Your Environment]] | * [[Building Your Environment]] | ||
− | * [[ | + | * [[Robotics]] ... [[Transportation (Autonomous Vehicles)|Vehicles]] ... [[Autonomous Drones|Drones]] ... [[3D Model]] ... [[Point Cloud]] |
− | |||
* [[Inside Out - Curious Optimistic Reasoning]] | * [[Inside Out - Curious Optimistic Reasoning]] | ||
* [http://worldmodels.github.io/ Recurrent World Models Facilitate Policy Evolution] | * [http://worldmodels.github.io/ Recurrent World Models Facilitate Policy Evolution] | ||
+ | * [[Policy]] ... [[Policy vs Plan]] ... [[Constitutional AI]] ... [[Trust Region Policy Optimization (TRPO)]] ... [[Policy Gradient (PG)]] ... [[Proximal Policy Optimization (PPO)]] | ||
<youtube>IZPKohYNri4</youtube> | <youtube>IZPKohYNri4</youtube> |
Latest revision as of 07:30, 16 June 2024
YouTube search... ...Google search
- Simulation ... Simulated Environment Learning ... World Models ... Minecraft: Voyager
- World Models | NIPS 2018 - GitHub
- World Models | David Ha, Jürgen Schmidhuber
- World Models in TensorFlow — Episode 1.0 — OpenAi Gym Race Car | Dario Cazzani
- Automated Learning
- Building Your Environment
- Robotics ... Vehicles ... Drones ... 3D Model ... Point Cloud
- Inside Out - Curious Optimistic Reasoning
- Recurrent World Models Facilitate Policy Evolution
- Policy ... Policy vs Plan ... Constitutional AI ... Trust Region Policy Optimization (TRPO) ... Policy Gradient (PG) ... Proximal Policy Optimization (PPO)
Unity AI
YouTube search... ...Google search